Spokeo

Full-stack Engineer

• Design and develop robust full-stack solutions
• Work in a cross-functional scrum team to achieve regular sprint goals
• Mentor and review the code of more junior team members
• Embrace software development best practices such as TDD, documentation, design patterns, secure coding, and algorithmic optimization

Senior Software Developer, Web Application

Product Manager

• Own and prioritize a data development backlog and project delivery schedule to execute customer-focused roadmap deliverables, serving as Product Owner for an Agile Scrum team responsible for regular data builds that generate high-quality people profiles at scale.
• Work closely with developers, analysts, and architects to fully understand available data and define business logic, including cleaning and standardization requirements; lead efforts to evaluate and onboard new external data vendors providing people data and PII.
• Conduct and review data analysis, profiling, and mining using traditional statistical techniques to understand and strengthen data capabilities; define what data accuracy means for the company's data products and translate those standards into actionable engineering project plans.
• Document requirements by writing user stories that align with product needs; lead the product roadmap for entity resolution improvements using weakly supervised machine learning techniques in collaboration with data science and ML engineering teams.
• Collaborate with product and data stakeholders to gather requirements needed to develop aggregated data to support the product suite; lead strategic development and improvement of the batch append product offering.
• Define acceptance and data quality criteria and guide the agile Scrum team to meet them; curate data labels and drive their integration into the data build process to systematically improve data product quality.

Principal Product Manager, Data Products

Business Analyst

• Support and enhance the development of payments and fraud KPIs, performance reporting, and post-launch analysis of new payment features and experiments
• Write and optimize SQL queries to uncover trends, anomalies and revenue opportunities
• Translate complex data into clear, actionable recommendations for business leaders
• Build and maintain dashboards to monitor fraud trends, payment declines, and overall payment health
• Provide analytical support to improve fraud detection and decision workflows
• Evaluate fraud rule performance, monitor alerts, and recommend data-driven improvements
• Conduct fraud trend analysis and recommend mitigation strategies
• Analyze payment decline drivers and develop decline salvage and optimization opportunities
• Communicate performance insights, root cause analysis, and mitigation strategies across teams

Senior Software Developer, Web Application

Principal Product Manager, Data Products

Business Analyst, Payments and Fraud